Hepatocyte growth factor sensitizes brain tumors to c-MET kinase inhibition

Ying Zhang1, Kaitlyn E Farenholtz, Yanzhi Yang

  • 1Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia 22908, USA. yz5h@virginia.edu

Abstract

Insights

Hepatocyte growth factor (HGF) coexpression predicts response to c-MET inhibitors in brain tumors. Pre-treating with HGF enhanced antitumor effects, suggesting a new strategy for receptor tyrosine kinase inhibitor efficacy.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Receptor tyrosine kinase (RTK) c-MET and its ligand hepatocyte growth factor (HGF) are implicated in cancer malignancy.
  • Deregulation of the c-MET/HGF pathway drives tumor progression, particularly in brain tumors.
  • Clinically applicable c-MET inhibitors exist, but predictors of response and efficacy enhancement strategies require further investigation.

Purpose of the Study:

  • To identify molecular determinants predicting responsiveness to c-MET inhibitors.
  • To explore novel strategies for improving c-MET inhibitor efficacy in brain tumors.

Main Methods:

  • Investigated molecular factors and pathway activation signatures in glioblastoma and medulloblastoma cell lines and xenografts.
  • Utilized functional assays, reverse protein microarrays, and in vivo tumor volume measurements.
  • Explored in vitro and in vivo approaches to enhance inhibitor efficacy.

Main Results:

  • Hepatocyte growth factor (HGF) coexpression emerged as a key predictor of response to c-MET inhibition.
  • An ERK/JAK/p53 pathway activation signature distinguished responsive from non-responsive cells.
  • Short pretreatment with exogenous HGF significantly enhanced antitumor effects of c-MET inhibition, a phenomenon also observed with an EGF receptor inhibitor.

Conclusions:

  • Identified HGF coexpression as a biomarker for patient selection for c-MET inhibitor therapy.
  • Proposed ligand pretreatment as a novel strategy to improve the anticancer efficacy of RTK inhibitors.
  • Findings support personalized treatment approaches and novel therapeutic combinations for brain tumors.

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